Issue |
BIO Web Conf.
Volume 17, 2020
International Scientific-Practical Conference “Agriculture and Food Security: Technology, Innovation, Markets, Human Resources” (FIES 2019)
|
|
---|---|---|
Article Number | 00113 | |
Number of page(s) | 6 | |
DOI | https://doi.org/10.1051/bioconf/20201700113 | |
Published online | 28 February 2020 |
Digital monitoring of agro-ecosystems indicators on the basis of space and unmanned technologies
1
Samara State Agrarian University, 446442 Kinel, Samara region, Russia
2
Samara Scientific Research Agricultural Institute named after N. Tulaikov, 446254 Bezenchuk district, Samara region, Russia
3
“GIS-R” Ltd., Apt. 57, 443081 Samara, Russia
* Corresponding author: agrotonik63@mail.ru
The aim of the research is to develop a digital monitoring methodology for agro-ecosystem indicators based on space and unmanned technologies with the conversion of digital aerial photography results into real parameters of agrophytocenosis indicators as physical units. The paper uses the results of research on digital monitoring of agrophytocenosis of single- and poly-species crops of grain and leguminous crops on the experimental field of the Samara State Agrarian University in 2018 (southern forest-steppe of Trans-Volga region). The soil is a typical medium heavy black loamy chernozem (humus content is 5.9 %, easily hydrolysed nitrogen is 80–120 mg/kg, labile phosphorus is 135–145 mg/kg, exchangeable potassium is 150–195 mg/kg, salt extract pH is 6.9). The research conducted in 2018 revealed that the stated aim is achievable in principle. According to the results of 2018, the greatest correlation between the vegetative biomass index NDVI and grain yield for winter and spring cereal crops was detected at the milky stage of the grains (up to r = 0.82).
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.